{"library":"dagster-dbt","type":"library","category":null,"description":"dagster-dbt provides a robust integration for dbt within the Dagster ecosystem. It allows users to define dbt models, seeds, snapshots, and tests as first-class Dagster assets, enabling rich metadata, lineage tracking, and seamless orchestration alongside other data tools. The library is actively developed and typically releases new versions in sync with Dagster core, with the current version being 0.29.0, corresponding to Dagster 1.13.0.","language":"python","status":"active","version":"0.29.0","tags":["dbt","etl","orchestration","data assets","data transformation","data quality"],"last_verified":"Thu May 21","install":[{"cmd":"pip install dagster-dbt dbt-core dbt-snowflake # or dbt-bigquery, dbt-redshift, etc.","imports":["from dagster_dbt import DbtCliResource","from dagster_dbt import DbtProject","from dagster_dbt import dbt_assets","from dagster_dbt import DagsterDbtTranslator","from dagster_dbt.cloud_v2.resources import DbtCloudClientResource"]}],"homepage":"https://dagster.io","github":"https://github.com/dagster-io/dagster","docs":null,"changelog":null,"pypi":"https://pypi.org/project/dagster-dbt/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":null,"avg_import_s":null,"wheel_type":null},"url":"https://checklist.day/v1/registry/dagster-dbt/compatibility"}}